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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Adaptive Turbine Engine Control for Stall Threat Identification and Avoidance

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: N10AT008

    Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

    STTR Phase I 2010 Department of DefenseNavy
  2. Advanced Materials for the Design of Lightweight JP5/JP8/DS2 Fueled Engines for Unmanned Aerial Vehicles (UAVs)

    SBC: Northwest Uld, Inc.            Topic: N10AT001

    Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...

    STTR Phase I 2010 Department of DefenseNavy
  3. Advanced Ship-handling Simulators

    SBC: D'Angelo Technologies, LLC            Topic: N18AT014

    There is a need to create an automated, adaptive, real time coaching module that can integrate the Conning Officer Virtual Environment (COVE) along with the associated Intelligent Tutor System (COVE-ITS) and the Conning-Officer Ship Handling Assessment (COSA) together. By automating the evaluation process, Surface Warfare Officers (SWOs) will have the opportunity to use the COVE simulations more f ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Advanced Software Tools for Lithium Ion Battery Risk Assessment (LIBRA)

    SBC: Impact Technologies            Topic: N10AT014

    Impact Technologies, in collaboration with the Georgia Tech Center for Innovative Fuel Cell and Battery Technologies, proposes to develop tools for Lithium Ion Battery Risk Assessment (LIBRA). These tools will allow the Navy to analyze proposed Li-Ion battery designs and assess the overall risk to the platform in the event of failure in a single cell. The tool will also predict the effects of a ca ...

    STTR Phase I 2010 Department of DefenseNavy
  5. A Fast-Response, Electronically Controlled Fuel Injection System for Small Heavy Fuel Engines with Multi-Fuel Capabilities

    SBC: MAINSTREAM ENGINEERING CORPORATION            Topic: N10AT033

    Advances in electronically controlled injection technologies for diesel engines have provided a method to improve medium- to heavy-duty engine performance through increased injection pressures, multiple injections, and injection rate shaping. Although these injection systems have been primarily limited to larger engines, the ability to rapidly and precisely meter fuel for smaller engines is partic ...

    STTR Phase I 2010 Department of DefenseNavy
  6. A Hierarchical and Extendable, Component-Based Simulation Tool for Aircraft Thermal Management Systems

    SBC: CFD Research Corporation            Topic: N19BT025

    The requirements for thermal management on tactical aircraft systems have reached a level at which integrated system design must be considered early in the aircraft design process. An integrated propulsion, power and thermal modeling and simulation design approach is necessary for reduced size, weight and power requirements. At the same time, there is an urgent need for capabilities that enable an ...

    STTR Phase I 2019 Department of DefenseNavy
  7. AI-Driven, Secure Navy Mission Planning via Deep Reinforcement Learning and Attribute-Based Multi-Level Security

    SBC: EH GROUP            Topic: N19BT029

    Current mission planning systems allow strike planners and operations centers to perform time-sensitive strike planning, execution monitoring, and validate mission effects using XML-based tools that visualize time critical attack plan and track plan status vs. execution. In this proposed STTR Phase I design for the Next Generation Navy Mission Planning (NGNMPS) system, we will identify expanded op ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Ambient Noise Interferometry for Passive Characterization of Dynamic Environments

    SBC: ZEL TECHNOLOGIES, L.L.C.            Topic: N10AT004

    Non-invasive, stealthy nature of passive remote sensing combined with its low cost make passive techniques a promising supplement or replacement of traditional active remote sensing techniques. Coherent processing of diffuse wave fields has a proven potential for remote sensing of stationary environments. The proposed research extends noise interferometry to characterization of dynamic environment ...

    STTR Phase I 2010 Department of DefenseNavy
  9. An Advanced Undersea Lithium Ion Management System (U-LIMS)

    SBC: Impact Technologies            Topic: N10AT013

    Impact Technologies, in collaboration with Penn State Applied Research Laboratory, proposes to develop an advanced Battery Monitoring and Management System (BMMS) for lithium-ion battery packs that ensures adequate, safe, and reliable operation. This system will focus on real time diagnostics, prediction of catastrophic failure, and risk assessment for individual cells in high power applications. ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Analysis and Modeling of Foreign Object Damage (FOD) in Ceramic Matrix Composites (CMCs)

    SBC: N&R ENGNERING MGT SUPPORT SVCS            Topic: N10AT010

    The Phase I deliverable will be a physic-based model which represents a CMC gas turbine component concomitantly at the material level and the structural level. This model will be probabilistically analyzed to account for the uncertainties in material properties and the uncertainties in the size and impact velocities of possible foreign objects (FOD). A ceramic material must display sufficient capa ...

    STTR Phase I 2010 Department of DefenseNavy
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